Digital IC Design Engineer
Neuralink - Austin, Texas, United States; Fremont, California, United States
Posted Jun 27, 2023
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Digital IC Design Engineer Austin, Texas, United States; Fremont, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. Job Description & Responsibilities: Our Digital IC Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred. - Micro-architecture design and RTL implementation of: - Low-power digital signal processors - Low-power general-purpose hardware accelerators - Low-power graphics processing units - Low-power radio MAC/PHY - Low-power serial link MAC/PHY - Design and optimization of hardware/software interface with firmware engineers - Application-specific architecture optimization including: - Complex system modeling for energy and performance benchmarks - Workload analysis and modeling - Energy/performance profiling and analysis - Leveraging architecture-level design trade-offs with process technology and workload type - Balancing cost and performance
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